MySQL in Big Data and IoT

When Big Data is distilled and analyzed in combination with traditional enterprise data, organizations can develop a more thorough and insightful understanding of their business, which can lead to enhanced productivity, a stronger competitive position and greater innovation - all of which can have a significant impact on the bottom line.

For example, use of social media and web log files from their ecommerce sites can help retailers understand who didn't buy and why they chose not to, information not formerly available to them. This can enable much more effective micro customer segmentation and targeted marketing campaigns, as well as improve supply chain efficiencies through more accurate demand planning. Other common use cases include sentiment analysis, marketing campaign analysis, customer churn modelling, fraud detection, Research and Development, risk modeling, and more ...

The Big Data imperative is compounded by the Internet of Things, generating an enormous amount of additional data.

In the Internet of Things, things talk to things, and processes have two-way interconnectivity so they can interoperate both locally and globally. Decisions can be made according to predetermined rules, and the resulting actions happen automatically - without the need for human intervention. These new interactions are driving tremendous opportunities for new services. Gartner estimates the total economic value-add from the Internet of Things across industries will reach US$1.9 trillion worldwide in 20201.

MySQL is the leading open source database for Web-based and Cloud-based applications; and is integrated within numerous Big Data platforms. As Big Data and the Internet of Things generate significant transformations in the way organizations capture and analyze new and diverse data streams, find out how using MySQL solutions with Hadoop can enable you to yield more insight than was ever previously imaginable.